Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 6, 2023


Pages


DOI

Article

Intelligent VR technology empowers the construction of intelligent learning environment for preschool education of kindergartens with emblematic characteristics

Check for updates


Authors

Yang Cao Affiliation:
Faculty of Education and Liberal Studies, City University, Malaysia, Kuala Lumpur, Malaysia.
and Roselan Bin Baki Affiliation:
Faculty of Education and Liberal Studies, City University, Malaysia, Kuala Lumpur, Malaysia.


Abstract

Due to the current kindergarten preschool education being increasingly emphasized, this paper combines intelligent technology to explore, firstly, analyzes the current intelligent learning environment model and designs the intelligent learning environment based on human-computer interaction. Secondly, the emblem elements are integrated into the physical learning environment, combined with intelligent VR technology, gesture interaction recognition based on feature vectors and pose interaction recognition based on vector machines to realize the construction of the smart learning environment. Finally, the interaction performance in the smart learning environment is analyzed based on simulation experiments, and the changes in learning effects are explored. The application yields that young children’s independent ability and social interaction ability increased by 0.5 and 0.48, respectively, and the mathematical thinking ability, artistic creation ability and Hui culture cognitive ability increased by 0.35, 0.39 and 0.32, respectively.


Keywords

Feature vector, Vector machine, Intelligent VR technology, Emblematic elements, Intelligent learning environment, 97D60


Citation

Cao, Y. & Baki, R. B. (2023). Intelligent VR technology empowers the construction of intelligent learning environment for preschool education of kindergartens with emblematic characteristics. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01007

Published by: Engineering Journals

Engineering Journals Logo